NVIDIA 900-21001-0020-000 A100 80GB HBM2 5120bit Graphics card
The NVIDIA 900-21001-0020-000 is an A100 80GB HBM2 data center GPU accelerator built on the NVIDIA Ampere architecture, aimed at enterprise AI training and inference, deep learning, and high-performance computing workloads. It suits buyers deploying large-model or memory-intensive pipelines on validated server platforms. As a full-featured data center accelerator, it typically requires SXM-based server integration or carrier hardware, so confirm platform fit before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Product code | 900-21001-0020-000 |
| Product family | NVIDIA A100 (Ampere architecture data center GPU) |
| Memory capacity | 80GB HBM2 |
| Memory interface | 5120-bit |
| Form factor class | Data center graphics card / AI accelerator (server-grade, platform dependent) |
| Framework support | TensorFlow, PyTorch, NVIDIA CUDA Toolkit |
Good to know
- Compatibility: works with major server platforms and standard AI frameworks including TensorFlow, PyTorch, and the NVIDIA CUDA Toolkit, per the source description; validate your server’s power, cooling, and interconnect support before deployment.
- Within the A100 family, the 80GB HBM2 variant offers the highest memory capacity of the lineup, making it the usual choice for large-model training and inference where smaller-memory sibling SKUs may be memory-constrained.
- Buying tip: confirm the exact 900-21001-0020-000 part number and your target platform’s compatibility with your supplier, and clarify lead time and export terms since data center GPUs are frequently in high demand.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
The NVIDIA 900-21001-0020-000 is an A100 80GB HBM2 data center GPU accelerator built on the NVIDIA Ampere architecture, aimed at enterprise AI training and inference, deep learning, and high-performance computing workloads. It suits buyers deploying large-model or memory-intensive pipelines on validated server platforms. As a full-featured data center accelerator, it typically requires SXM-based server integration or carrier hardware, so confirm platform fit before ordering.
Key specifications (table)
| Parameter | Specification |
|---|---|
| Product code | 900-21001-0020-000 |
| Product family | NVIDIA A100 (Ampere architecture data center GPU) |
| Memory capacity | 80GB HBM2 |
| Memory interface | 5120-bit |
| Form factor class | Data center graphics card / AI accelerator (server-grade, platform dependent) |
| Framework support | TensorFlow, PyTorch, NVIDIA CUDA Toolkit |
Good to know
- Compatibility: works with major server platforms and standard AI frameworks including TensorFlow, PyTorch, and the NVIDIA CUDA Toolkit, per the source description; validate your server’s power, cooling, and interconnect support before deployment.
- Within the A100 family, the 80GB HBM2 variant offers the highest memory capacity of the lineup, making it the usual choice for large-model training and inference where smaller-memory sibling SKUs may be memory-constrained.
- Buying tip: confirm the exact 900-21001-0020-000 part number and your target platform’s compatibility with your supplier, and clarify lead time and export terms since data center GPUs are frequently in high demand.
For tray and reel pricing, current stock by part number and date code, and volume discounts on bulk orders, request a bulk quotation.
